Search Results - hesitant fuzzy clustering algorithm

GHFHC: Generalized Hesitant Fuzzy Hierarchical Clustering Algorithm by Aliahmadipour, Laya, Eslami, Esfandiar

“… So we propose a new generalized hesitant fuzzy hierarchical clustering (GHFHC) algorithm based on Atanassov's intuitionistic fuzzy set theory…”
Get full text

Novel Multiple Criteria Group Decision-Making Method Based on Hesitant Fuzzy Clustering Algorithm by Bian, Hongya, Li, Deqing, Liu, Yuang, Ma, Rong, Zeng, Wenyi, Xu, Zeshui

“… By applying the fuzzy equivalent matrix, a novel hesitant fuzzy clustering algorithm is given…”
Get full text

Robust hesitant fuzzy partitional clustering algorithms and their applications in decision making by Chao, Kun, Zhao, Hua, Xu, Zeshui, Cui, Feng

“…Hesitant fuzzy sets (HFSs) are a powerful tool to describe uncertain and vague information, whose relationship can be analyzed and mined by clustering algorithms…”
Get full text

Information measures for hesitant fuzzy sets and interval-valued hesitant fuzzy sets by Farhadinia, B.

“…The main purpose of this paper is to investigate the relationship between the entropy, the similarity measure and the distance measure for hesitant fuzzy sets (HFSs…”
Get full text

Hesitant fuzzy agglomerative hierarchical clustering algorithms by Zhang, Xiaolu, Xu, Zeshui

“… In this paper, we propose a novel hesitant fuzzy agglomerative hierarchical clustering algorithm for HFSs…”
Get full text

Hierarchical hesitant fuzzy K-means clustering algorithm by Chen, Na, Xu, Ze-shui, Xia, Mei-mei

“… Hesitant fuzzy sets are a powerful tool to treat this case. The present paper focuses on investigating the clustering technique for hesitant fuzzy sets based on the K…”
Get full text

Kernel C-Means Clustering Algorithms for Hesitant Fuzzy Information in Decision Making by Li, Chaoqun, Zhao, Hua, Xu, Zeshui

“…When facing clustering problems for hesitant fuzzy information, we normally solve them on sample space by using a certain hesitant fuzzy clustering algorithm, which is usually time-consuming…”
Get full text

Hesitant Fuzzy Entropy-Based Opportunistic Clustering and Data Fusion Algorithm for Heterogeneous Wireless Sensor Networks by Anees, Junaid, Zhang, Hao-Chun, Baig, Sobia, Guene Lougou, Bachirou, Robert Bona, Thomas Gasim

“… This paper proposes a novel, dynamic, self-organizing Hesitant Fuzzy Entropy-based Opportunistic Clustering and data fusion Scheme (HFECS…”
Get full text

Hesitant Fuzzy Linguistic Agglomerative Hierarchical Clustering Algorithm and Its Application in Judicial Practice by Wu, Shuangsheng, Lin, Jie, Zhang, Zhenyu, Yang, Yushu

“… A kind of hesitant fuzzy linguistic agglomerative hierarchical clustering algorithm is proposed…”
Get full text

Decision-Making and Clustering Algorithms Based on the Scored-Energy of Hesitant Fuzzy Soft Sets by Alcantud, José Carlos R., Stojanović, Nenad, Djurović, Ljubica, Laković, Maja

“…This paper introduces a novel numerical characteristic of hesitant fuzzy soft sets called their scored-energy…”
Get full text

Managing information measures for hesitant fuzzy linguistic term sets and their applications in designing clustering algorithms by Tang, Ming, Liao, Huchang

“…•The clustering algorithms based on correlation measure and distance measure are proposed.•The clustering algorithms are applied to an example concerning water resource bearing capacity…”
Get full text

Unbalanced Data Classification Based on Hesitant Fuzzy Decision Tree by ZHANG Xu, ZHOU Xinzhi, ZHAO Chengping, SHAO Lun

“…In order to optimize the classification effect of unbalanced data,an improved fuzzy decision tree algorithm is proposed combining the hesitant fuzzy set theory and the decision tree…”
Get full text

Failure Evaluation of Electronic Products Based on Double Hierarchy Hesitant Fuzzy Linguistic Term Set and K-Means Clustering Algorithm by Dai, Jinkun, Pang, Jihong, Luo, Qiang, Huang, Qianbing

“… This paper uses the double hierarchy hesitant fuzzy linguistic term set (DHHFLTS) and the K-means clustering algorithm to improve the shortcomings of traditional FMEA…”
Get full text

Correlation coefficient of r,s,t-spherical hesitant fuzzy sets and MCDM problems based on clustering algorithm and technique for order preference by similarity to ideal solution method by ÖZLÜ, Şerif, AKTAŞ, Hacı

“…) problems, machine learning, data mining and medical diagnosis so on. This paper aims to present a new tool called as r,s,t spherical hesitant fuzzy set (r,s,t-SHFS…”
Get full text

Similarity Measure of Hesitant Fuzzy Sets Based on Implication Function and Clustering Analysis by Zeng, Wenyi, Ma, Rong, Yin, Qian, Xu, Zeshui

“…Hesitant fuzzy set (HFS) permits several possible values as the membership degree of an element to a set to express the decision makers' hesitance…”
Get full text

HFC: Data clustering based on hesitant fuzzy decision making by Aliahmadipour, L, Eftekhari, M, Torra, V

“… In this case, we hesitate which clustering algorithm to choose. In this paper, this hesitation is modeled by a hesitant fuzzy multi criteria decision making problem (HFMCDM…”
Get full text

Hesitant fuzzy Lukasiewicz implication operation and its application to alternatives’ sorting and clustering analysis by Wen, Miaomiao, Zhao, Hua, Xu, Zeshui

“…Hesitant fuzzy set (HFS) takes several possible values as the membership degree of an element to a set to express the decision makers…”
Get full text

Dual-manifold regularized regression models for feature selection based on hesitant fuzzy correlation by Mokhtia, Mahla, Eftekhari, Mahdi, Saberi-Movahed, Farid

“… In order to compute the HFCM, a fuzzy clustering algorithm is applied to samples (or features), and a hesitant fuzzy set on each sample…”
Get full text

Novel distance measures of hesitant fuzzy sets and their applications in clustering analysis by Liao, Fuping, Li, Wu, Zhou, Xiaoqiang, Liu, Gang

“… For the existing hesitant fuzzy distance, most of them do not consider the hesitance degree. Even if the hesitance degree is considered, only the degree of dispersion or the number of hesitant fuzzy values are considered…”
Get full text

Hybrid hesitant fuzzy linguistic bi-objective binary coyote clustering based segmentation and classification for land use land cover in hyperspectral image by Yele, Vijaykumar P., Alegavi, Sujata, Sedamkar, R. R.

“… The Binary Coyote Optimization Algorithm (BCOA) is used for optimizing hesitant fuzzy linguistic bi-objective clustering…”
Get full text